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Cyber Threat Hunting with AI, Splunk & Jupyter

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Learn threat hunting techniques, log analysis, and ML-based detection to find hidden threats like a SOC analyst
4.6
4.6/5
(19) Ratings
1,748 students
Created by Starweaver Experts
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What you'll learn

  • Understand what is threat hunting in cyber security and build a strong foundation in cyber threat hunting within modern cybersecurity environments.
  • Explore the threat hunting lifecycle and learn threat hunting basics using a practical model for conducting cyber threat hunting with hypothesis-driven methods.
  • Learn key threat hunting techniques to detect anomalies, phishing, and suspicious activity in network security data as a SOC analyst.
  • Discover how AI supports proactive threat hunting and improves detection of hidden threats in real-world cybersecurity scenarios.
  • Analyze raw log data by cleaning, enriching, and visualizing it using Pandas, Seaborn, and Matplotlib in Jupyter.
  • Apply anomaly detection techniques like Isolation Forest and DBSCAN using modern cyber threat hunting tools and telemetry data.
  • Design and execute ML-based hunts in Splunk and Jupyter using a structured threat hunting framework.
This course includes:
4.5 total hours on-demand video
10 articles
5 downloadable resources
52 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Learners should have basic knowledge of Python programming, familiarity with common log formats, and a foundational understanding of core cybersecurity concepts

Description

Master Modern Threat Hunting and Cybersecurity Analytics – Detect Advanced Threats, Analyze Behavioral Patterns, and Operationalize Machine-Driven Defense

Are you ready to defend against today’s most sophisticated cyber threats? This comprehensive cybersecurity course delivers a deep, practical exploration of threat hunting in cyber security, advanced log analysis, and machine-driven analytics. You will build expertise in cyber threat hunting, enabling you to detect evasive threats, uncover behavioural anomalies, and transform raw security data into actionable intelligence using leading cyber threat hunting tools.

Through hands-on exercises, real-world case studies, and lab-driven modules, you will develop job-ready skills aligned with modern cyber threat hunting services and SOC analyst roles. This course bridges human intuition with machine learning techniques, helping you understand how AI supports proactive threat hunting and strengthens modern security operations.

You will explore a practical model for conducting cyber threat hunting, apply proven threat hunting techniques, and gain experience with real threat hunting examples used in enterprise environments. The program also introduces a structured threat hunting framework to help you design effective detection strategies.

By the end of this course, you will be able to build hypotheses, detect anomalies, and operationalize scalable cyber threat hunting workflows. You will use tools like Splunk and Jupyter Notebooks to analyze complex datasets, visualize patterns, and enhance detection capabilities across modern cybersecurity environments.

Whether you are an aspiring SOC analyst, cybersecurity professional, or learning how to become a cyber threat hunter, this course will help you stay ahead of evolving threats and strengthen your defensive capabilities. Enrol now and take the next step toward mastering modern cybersecurity analytics!

Who this course is for:

  • This course is ideal for SOC analysts transitioning from reactive monitoring to proactive threat hunting, professionals exploring cyber threat hunting tools and techniques, and blue team engineers building scalable detection workflows.
  • It is also suited for cybersecurity learners seeking hands-on experience with tools like Splunk and Jupyter, and anyone interested in threat hunting for beginners who want practical exposure to real-world detection strategies.
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